# Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ===========================================================================
"""DSCNN models."""
from mindspore.train.serialization import load_checkpoint, load_param_into_net

def load_ckpt(network, pretrain_ckpt_path, trainable=True):
    """
    incremental_learning or not
    """
    param_dict = load_checkpoint(pretrain_ckpt_path)
    load_param_into_net(network, param_dict)
    if not trainable:
        for param in network.get_parameters():
            param.requires_grad = False
